IN PROGRESS kableExtra::collapse_rows
version 1.3.4 doesn't work properly causing issues for univariable_table
HTML output. This release will require the latest version of that package once it is available on CRAN with the fix.
IN PROGRESS Updating usage of dplyr
functions to conform to most recent syntax best practices
Updated functionality for cases when custom functions for "other" data types are used in univariate_table
. Previously, these functions only picked up the summary values (i.e. it treated it as if it were a single summary statistic). Now, if the desired function produces a named vector as the result, the names (i.e. factor levels) will be attached and added to the result as is done for categorical data types.
Fixed a bug that caused the wrong ordering of columns in the result of univariate_table
when there was more than nine (9) columns
absorb
The print
argument was renamed to trace
descriptives
The na.rm
and useNA
arguments are no longer required for additional functions
na_string
argument to for filling in NA
result names.value
) from result columnsFunction, column, and result attributes have fun_
, col_
, and val_
prefixes, respectively
divide
Default behavior is now to split to a multi-level list depending on the number of split variables
dplyr::select()
drop
argumentControl over whether stratification variables are removed from the split frames with the remove
argument
stratiply
User is in charge of binding back together (e.g. with fasten
)
stretch
The keep
argument is removed
keys
argument is replaced with key
and send
argument replaced with value
Extracting keys from the header is now done with grable()
.
typly
Removed the keep
argument
type_match
Changed function name to some_type
univariate_table
Default access to 25th and 75th percentiles for string templates with "q1"
and "q3"
, respectively
"median (q1, q3)"
as the default string template for numeric variablesother
are not displayed by defaultdepths
finds the unique depth(s) of elements in a list that satisfy a predicatedepths_string
finds paths and locations of elements that satisfy a predicatefasten
takes a divided data frame and binds it back togethergrable
makes a knitr::kable
with stacked headersmuddle
randomly permutes some or all of the columns of a data frameMinor update to documentation
Minor update to documentation
Initial CRAN release
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